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Table of Contents

Setup

  • Set up a virtual environment
$ python -m venv env
  • Install requirements
$ pip install -r requirements.txt 

Dataset

  • This project uses the same dataset as the previous Mask R-CNN project in tensorflow. Your directory structure should be similar to the one shown below.
├───data
│   ├───test
│   ├───train
│   └───val
├───env
├───src
├───.gitignore
├────cardamage.ipynb
├───README.md
└───requirements.txt
  • Run create_dataset in terminal
$ cd src
$ python create_dataset.py

Notes

  • To install PyTorch on Windows, no CUDA:
    $ pip install torch==1.6.0+cpu torchvision==0.7.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
    

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  • Jupyter Notebook 99.5%
  • Python 0.5%